Systems and methods for control of receivers

ABSTRACT

A controller for advanced receivers configures a plurality of advanced receiver modules based on figures of merit computed on the input signal. The controller also selects the appropriate output signal based on figures of merit of either the input or the output signals. The controller decisions can also be made in a bursty manner, where only a subset of the decisions to be made are made at a given time, thereby limiting the processing load of the control processor.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.12/274,551 filed on 20 Nov. 2008, entitled “Systems and methods forcontrol of advanced receivers,” which is a non-provisional applicationthat claims priority to U.S. patent application Ser. No. 60/989,449filed on 21 Nov. 2007, entitled “Systems and methods for control ofadvanced receivers” and is a continuation-in-part of U.S. patentapplication Ser. No. 10/669,954, filed on 23 Sep. 2003, entitled “Methodand apparatus for selectively applying interference cancellation inspread spectrum systems,” now U.S. Pat. No. 7,787,518, which is anon-provisional application claiming priority to U.S. Provisional PatentApplication No. 60/412,550, filed on 23 Sep. 2002, entitled “Controllerfor interference cancellation in spread spectrum systems.” Each of theforegoing applications and patents is hereby incorporated herein byreference in its entirety.

BACKGROUND

Receivers in mobile radio systems are designed to demodulate signalsarriving via multiple propagation paths. The multipath environmentobserved at the receiver is a result of both path generating diversityschemes and mobile radio channel effects. Diversity schemes includesignal transmission from different cellular base station sites (sectors)and/or multiple antennas. These transmitted signals are subject toreflection from terrestrial objects such as landscape, buildings, andcars resulting in a time varying multipath channel. Each multipathchannel path is subject to a different time varying propagation delay,attenuation, and phase shift. These paths interact with each other tocreate constructive and destructive interference. Interference is alsocaused when signals from multiple sources, which are not orthogonal toone another, arrive at a receiver.

Mobile radios have a finite set of system resources with which todemodulate the received signal. The process by which these demodulationresources are assigned to receive paths is referred to as radio controlor finger assignment.

Advanced receivers such as equalizers and interference cancellers offerthe possibility of mitigating the interference present in the signal.

Advanced receivers are an attractive feature in such receivers sincethey enable interference mitigation and can provide improvements in datarates and/or capacity for the network. However, performance issues andresource constraints necessitate the development and use of methods forcontrolling advanced receivers, since the advanced receiver portion ofthe receiver also usually has a finite set of system resources withwhich to perform operations such as symbol estimation, equalization, andinterference cancellation.

SUMMARY OF THE INVENTION

In view of the foregoing background, embodiments of the presentinvention may provide a receiver for signal processing for cancelingintra-channel and inter-channel interference in multiple-access,spread-spectrum transmissions that propagate through frequency-selectivecommunication channels.

In one embodiment, the receiver for signal processing, comprises afront-end processor for receiving a signal followed by a searchercoupled to the front-end processor for detecting one or more signal raysin the received signal, a selection module that selects at least one ofa plurality of detected signal rays for assignment to a symbolestimator, a symbol estimator communicatively coupled to the selectionmodule that operates on the selected signal rays to generate a pluralityof symbol estimates; and an advanced receiver module communicativelycoupled to the symbol estimator that operates on the plurality of symbolestimates and the received signal to generate a substantiallyinterference cancelled signal.

In another embodiment, the receiver assigns at least one signal ray to atracker where the information from the ray is not intended for thedevice for generating tracking information from the assigned ray anduses the tracking information from the tracker in a symbol estimator forthe purpose of equalization or cancellation.

In another embodiment, the receiver may use metrics from the receivedsignal rays to decide what technique of advanced receiver to use for theparticular scenario.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram depicting components of a spread spectrumreceiver in accordance with an embodiment of the present invention.

FIG. 2 is a block diagram depicting the components of the PathEvaluation Module.

FIG. 3 is a block diagram depicting the different figures of merit thatmay be computed in the Path Metrics Module.

FIG. 4 illustrates the contents of a Path List.

FIGS. 5 a and 5 b illustrate the contents of a Sector Path List.

FIG. 6 is a block diagram depicting components and signal flow of anembodiment of this invention.

FIG. 7 depicts the construction of interference vectors in accordancewith an embodiment of this invention.

FIG. 8 illustrates the creation of the Sector Path List.

FIG. 9 is an overview of the assignment algorithm, as it relates to theSector Path List.

FIG. 10 illustrates an embodiment for creating the sector path candidatelist.

FIG. 11 is a flowchart illustrating a process for generating sectorstrengths for individual paths.

FIG. 12 is a flowchart illustrating a process for maintaining the Sectorcandidate path list.

FIG. 13 is a flowchart illustrating another embodiment for maintainingthe Sector candidate path list.

FIG. 14 illustrates the process by which paths or rays for a givensector are assigned to a sector path list where the sector path list hasa limit on the number of elements.

FIG. 15 illustrates the process by which sector path candidates areadded to the sector path list.

FIG. 16 is a flowchart illustrating a process for evaluating valid pathswithin the Return Stream Control algorithm.

FIG. 17 illustrates the components of the return stream controller.

FIG. 18 shows an overview of the Return Stream Selection (RSS) algorithmfor the return stream controller module.

FIG. 19 illustrates an embodiment of the RSS algorithm for evaluatingvalid paths.

FIG. 20 illustrates another stage of the RSS algorithm.

FIG. 21 shows an embodiment of the last stage for the RSS algorithmwhere return stream candidates are evaluated for selection.

FIG. 22 is a diagram depicting a scheduler that generates executionsignals for algorithms.

FIG. 23 is a flowchart illustrating an overview of another AssignmentController algorithm where one path assignment is evaluated perexecution

FIG. 24 begins a detailed illustration of the assignment algorithmoutlined in FIG. 23.

FIG. 25 shows another stage of the assignment algorithm.

FIG. 26 illustrates the final stage of the assignment algorithm.

FIG. 27 is a diagram depicting another scheduler.

FIG. 28 shows a flowchart of the assignment algorithm that would run inconjunction with the scheduler illustrated in FIG. 27.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

In FIG. 1, the present invention is shown, embedded in a spread spectrumcommunication receiver. The receiver downconverts to base band signalsreceived over the air via the antenna 102 and front end processor 104.One or more antennas may be used, even though two are shown in thefigure. The oversampled, raw signal stream(s) 106 is provided to asearcher 108 which identifies signal rays from one or more signalsources. The searcher 108 reports the signal paths that have beenidentified to the baseline controller 110. The baseline controller 110then assigns paths to fingers 120 for tracking the signal. Tracking iswell known in the art, and refers to the estimation of precise timinginformation of received rays, and the code sequences corresponding tothe rays. In Rake based systems, the fingers may perform additionalfunctions such as demodulation. Each demodulated finger is provided to asymbol combiner 112 which combines and processes the paths.

In accordance with an embodiment of the present invention, an advancedreceiver module 130 is incorporated in the spread spectrum communicationreceiver. In general, the advanced receiver module provides for theselective application and use of an advanced receiver technique such asequalization or interference cancellation. The raw signal stream 106 isinput to the advanced receiver module 130 along with trackinginformation 124 for each path assigned to a finger 120. The paths areevaluated 132 and processed (134, 136, 140 and 142) in an attempt toremove the interference of one or more paths from all the other paths.Multiple signal cancellation modules 142 may exist, providing multipleinterference cancellation signal streams for each path. An optionalreturn stream controller 152 identifies, for each path, whichcancellation stream (if any) is appropriate to return to a given finger124. The individually returned streams 160 allow the advanced receivermodule 130 to selectively provide interference cancelled signals to eachfinger 120. In this manner, all paths may receive the appropriate signalstream that provides the best performance.

The advanced receiver module 130 may introduce a processing delay intime with respect to the raw signal stream 106. This processing delaymay be an integer number of chips or an integer number of symbols (N). Aprocessing delay module, not shown in FIG. 1, which may be a buffer or adelay line is incorporated to delay the raw signal stream in time by theprocessing delay incurred in the advanced receiver module. Someprocessing delay may be inherent in the module because of the batchprocessing nature of some of the operations within the advancedreceiver. The delayed raw signal stream is fed to the return streamcontroller 152 allowing it to seamlessly switch between one or moresignal streams from the advanced receiver and the raw signal streamwithout perturbing a given finger's tracking mechanism. This delay maybe adjusted for in the baseline controller 110 where the PN offsetassigned to a finger is advanced by the processing delay. Thisadjustment may also be made by masking the codes appropriately. Moreinformation on how this masking may be performed is disclosed inco-pending U.S. patent application Ser. No. 11/253,045, the entirecontents of which are hereby incorporated by reference. Trackinginformation 124 provided by each finger may provide the compensated ornon-compensated tracking information to the advanced receiver module130.

Each finger 120 may provide tracking information 124 to the advancedreceiver module 130. This information may include the PN sequence at theoffset assigned to the finger, the symbol boundary strobe (SBS) foridentifying the beginning of a symbol, the chip enable flag (CEF) foridentifying the on-time chip sample in the oversampled I/Q stream foreach arriving ray. Also, signals such as Assigned (indicating when afinger is tracking a ray assigned to it), Locked (indicating when afinger is locked onto its assigned path), and/or Advance/Retard(indicating when the tracker has advanced or retarded some number ofsamples) may be provided to 130. The baseline controller 110 may alsoprovide finger tracking information 190 to the advanced receiver module130, which may be used in the interference estimation module(s).

The fingers 120 may be configured in different ways depending on thespecific implementation. Implementations include embodiments where theadvanced receiver module and the baseband modem are separate modules, aswell as those where the advanced receiver module and the baseband modemare tightly integrated. Fingers refers both to fingers that arephysically present, and those that are time multiplexed modules withfinger functionality operating at a rate faster than the time needed forprocessing a single finger

In an alternative embodiment, the estimation of the interference isperformed on a single stream of IQ data per sector that is a result ofequalization rather than Rake combining In such an embodiment, modulestrack the different rays for their timing information which is then fedto modules that perform channel estimation. An equalizer takes as inputthe received signal stream and the channel estimates, amongst otherinputs and produces an equalized stream of data.

Tracking information may be available for signal rays that are routinelyassigned to fingers for demodulation, and also for rays that areassigned to fingers that are assigned for the purposes of derivingtiming and code information for symbol estimation, which may be then beused for interference estimation, even when timing and code informationfrom that finger/path is not being used in the receiver to recoverinformation bits. In some implementations, tracking information may bemade available from fingers that are implemented within the advancedreceiver module solely for the purpose of generating tracking and codesequence information to be used for interference cancellation. The useof information from fingers that are not being used for demodulationoccurs in scenarios where information intended for the receiver is beingtransmitted only from one sector, such as in the HSDPA and EV-DOstandards. These scenarios can also arise in blocking conditions, whichmay occur due to missed messaging between the mobile and the basestation, in the event of missing neighbors in the neighbor set, or whena base station sector is incapable of handoff or handover since it is atcapacity. Other scenarios include the use of closed access systems suchas Home Node-B systems or Femto-base stations, where a terminal findsitself near a base station that it may not be served by.

According to one embodiment of the present invention, an enable/disablecontrol signal is provided to the advanced receiver module 130 whichallows a receiver controller to selectively choose when the module 130will be active. When the advanced receiver module 130 is active,additional streams of data are produced for one or more rays received atthe receiver, and equalization or interference cancellation may beselectively applied. If the advanced receiver module 130 is disabled,the raw signal stream 106 is fed to each finger 160. Additional powersavings may be obtained by disabling clocks that are exclusively used inthe advanced receiver circuitry. The advanced receiver may also beturned off in conditions such as sleep mode, or if the receiverdetermines that the base station is transmitting at its lowest allowabletransmit power and there can be no benefits of using an advancedreceiver.

In FIG. 2, components within the path evaluation module 132 (FIG. 1) areillustrated. The functionality of this module may also be implementedusing normal searcher and finger assignment functions that are presentin a receiver.

This module is mainly designed for advanced receiver implementationswhere the necessary information need for the advanced receiver, which isusually present in the baseline receiver, is all not automaticallyavailable in the advanced receiver. Information from each ray may berecorded and updated in a Path List 260. A path detection module 206determines if a finger has been assigned to track a path. A resetindicator may be generated to establish if a path is present. If so, apath metrics module 208 provides information about the path.

A multipath detection module 230 identifies if the paths present aremultipaths of each other. The resultant information is recorded in thepath list 260 as a multipath ID. Also, a path qualification module 220determines if the path is suitable for interference cancellation, eitheras an interfering path, or as a path that will benefit from havinginterference removed from it. The path qualification module may use thesignal strength of the path or some other figure of merit derived fromthe signal strength to qualify the path. In the preferred embodiment,this module 220 also detects the presence of side-lobe paths (signalpaths erroneously assigned to delay offsets corresponding to side-lobepeaks in the correlation function of the transmit-receive pulse).Improving the signal to noise ratio of a side-lobe path does not helpthe performance of the receiver.

Side-lobe paths are detected by finding paths that are located at afixed offset from another dominant path. In a preferred embodiment,based on a particular transmit and receive filter, and a type of RFfront end and filter, the separation is about 1.44 chips. This chipseparation between a main path and a side-lobe path may change fordifferent matched transmitter and receiver designs, and one maydetermine analytically, or from simple experimentation, the location ofthese side-lobe paths. These paths are partnered with each other, andtheir pilot strengths compared. If the pilot strength of one or more ofthe partners is less than a certain fraction of the strength of thestrongest partner, they are considered side-lobe paths. The path enablesignal 234 is disabled for side-lobe paths. If paths are not determinedto be side-lobe paths, then their path enable signals 234 are enabled.

The path qualification module 220 can be used for other receiverconsiderations. For example, a particular path (or finger) can bedisabled intermittently or permanently within the cancellation module.This provides configuration flexibility within the baseline controllerwhen assigning paths to fingers.

In another embodiment of the invention, the Path List 260 (FIG. 2) isfilled in directly by the Baseline Controller 110 (FIG. 1), where theinformation may already be available and which may be signaled directly.This eliminates the need for the sub modules in the path evaluationmodule 132 (FIG. 1).

FIG. 3 illustrates the different figures of merit that may be computedfor a given path. These include the strength of a pilot, the noise inthe channel, and the loading on the sector or path, as computed by thetotal strength of all the received traffic channels.

FIG. 3 a illustrates an embodiment of the path metrics module 208.n(from FIG. 2) where n denotes the n^(th) finger or path. The raw signalstream(s) 106 is input to 208.n along with path tracking information 124.n for the n^(th) path. A correlator module 310 uses the pathinformation to obtain PN stripped (despread), I and Q symbol values fromthe raw signal stream. The I and Q values are passed to the strengthcomputing module 312 where a figure of merit such as the pilot strengthis identified and filtered in the filter module 320. Alternative figuresof merits such as SNR of the ray or sector may be computed and filteredas well. The output of the filter 320 is the average pilot strength ofthe path. The reset 230.n indicator may be used to clear the filter whena path is not present. It may also be set to a value based on priorinformation about the sector or ray, such as from a searcher. Thepreferred embodiment of the filter 320 is a low pass filter implementedusing a single pole, Infinite Impulse Response (IIR) design, althoughany filter design may be used to retain the low frequency content of thepilot strength. In some embodiments, more refined estimates of thestrength that include the signal to noise ratio may be used.

FIG. 3 b is an embodiment of this invention that computes the averageloading from a sector, and in some embodiments, also may compute ametric relating to the variance of the traffic channel loading, such asthe variance of the received traffic channel powers. Alternativestatistics derived from the received traffic channel powers may also beused.

FIG. 3 c illustrates the estimator of noise for each sector, which maybe used either inside the advanced receiver, or for computing the SNR ofthe sector for the purpose of computing a metric associated with eachsector.

In one embodiment of this invention, the advanced receiver isimplemented as a configurable module, which uses the metrics generatedfrom the signal, such as traffic channel loading, the variance and meanof weights generated from symbol estimates, geometry of the sector whosesymbol estimates are being estimated, noise levels, fading speeds, andDoppler to determine what the best mode of operation would be for theadvanced receiver, and the controller configures the advanced receivermodule appropriately. For example, for high geometry conditions withlight loading, projective cancellation may be used, whereas subtractivecancellation may be used for other conditions. Similar decisions may bemade between equalization and interference cancellation. For example,high geometry scenarios may respond well to equalization of the pathsbelonging to the sector, whereas lower geometry scenarios may respondbetter to interference cancellation. Different advanced receivertechniques could be pre-characterized through simulation for theirrelative performance across different types of scenarios, and theresults may then be used to generate the set of rules for switchingbetween the different receiver techniques.

In FIG. 4, the contents of a path list are illustrated. Each fingerconnected to the advanced receiver module is identified 404. An enablestatus 412 indicates if the finger is actively tracking a path, haslocked onto the path and if the path is useful or valid for thecancellation module (from the path qualification module). The path'spilot strength 416 and its lock status may be part of the path list.These values may be represented as linear or logarithm values. Multipathinformation 414 is identified for each enabled path. Paths with the samemultipath index are those that are determined or known to be multipathsof each other.

Other path attributes may be recorded in the Path List 260 such asassignment to a canceller and the return stream selection. Theseattributes are described later.

FIGS. 5 a and 5 b illustrate the generation of sector path lists, and anexample of the contents of a sector path list. The list contains anenumeration of the signal sources (sectors, base-stations or Node-Bs)and a figure of merit associated with each source, such as the strength,or total power received from the base station. This figure of merit isused as a basis for decision making in the assignment of sources andpaths to advanced receiver resources.

FIG. 6 illustrates the signal flow in accordance with an embodiment ofthis invention. Using the figure of merit of the source, the best numberof sources that match the number of symbol estimators in the system areselected. A symbol estimator operates on the rays from each sector andperforms post-processing, at the end of which, an estimated transmittedsignal is produced. Information from each of the rays used in theestimation may be used in order to create a replica of the receivedsignal from that ray. After this interference removal can occur.Interference removal or cancellation may be implemented using any ofvarious advanced receiver techniques that are known in the art,including (but not limited to) equalization, subtractive interferencecancellation or projection based interference cancellation.

In order for the symbol estimation and post-processing module to producea representation of the interference from the assigned path, pathtracking information is used to despread the PN sequence of the pathfrom the raw signal stream. The complex channel gain, also referred toas the phase of the path, may also be removed. The rays may then becombined using MRC combining or using equalization. Symbol estimationmay be performed on the combined, despread and derotated data to yieldsymbol estimates. After an estimate of the interference from the sectoror path is produced, it is covered by the path's PN sequence. Therespective path's phase (channel estimate) may also be applied if it wasremoved in the path strip module. The resultant signal is theinterference estimate for the sector or path to be removed in the signalcancellation module.

FIG. 7 illustrates the manner in which individual path interferenceestimates 636.1 through 636.n are used to create interference estimatesfor each ray being used in demodulation. The interference estimate ofthe ray of interest in excluded, and the rest are combined to createinterference estimates 720.1 through 720 .k.

In another embodiment, the summation of all available interferenceestimates are subtracted from the original signal, including thesignal(s) of interest, and then the interference estimate of the signalof interest is added back.

FIG. 8 shows the multipath grouping and the sector assignment, and thecreation of the sector path lists. Information from the path list 260 isused first to sort path information into the respective groups orsectors.

FIG. 9 shows an overview of the assignment algorithm for the path orsector assignment module 510 (FIG. 5). A signal is received 900 from thecancellation module 130 (FIG. 1) to evaluate the assignment of paths tocancellers. When the signal is received, the assignment algorithmcreates 904 a sector path candidate list. After that, improvements to anassigned sector are considered based on new multipath information thatmay be available. Next, sectors that are already assigned to cancellersare evaluated to determine if they should be dropped (i.e., unassigned)in 920. In 924, sector path list candidates are added to unassignedcancellers and in 928, cancellers that were previously assigned areevaluated to determine if candidate paths can override (or bereassigned) to these cancellers. The algorithm completes its cycle 940and waits for another signal from the cancellation module 130 tore-evaluate assignments.

FIG. 10 illustrates an embodiment for creating the sector path candidatelist. The process starts 1000 with a signal from the assignmentalgorithm and clears the sector path candidate list 1004. The Path List260 (FIG. 2) is used to determine active (or enabled) paths in thesystem. A variable J is used to step through the active paths in thepath list: steps 1006, 1020 and 1030.

For each active path J, the path will be assigned to the path candidatelist 1114 if it is not already assigned to a canceller 1012, and itsaverage pilot strength defined in the path list is greater than an ‘add’threshold 1010. Step 1010 helps ensure that only strong paths areconsidered as interferers.

When all active paths have been evaluated for the path candidate list1120, the sector path candidate list is complete and the algorithm movesto the next stage (B) 1040.

In FIG. 11, the sector (or Node-B or base station) strength is evaluatedby weighing and combining the strengths of the individual rays thatcomprise that sector's path list. Weights are applied to the strength ofeach path 1120, and then combined 1122 to create a sector strength thatis stored 1124 in the sector candidate list. This process is repeateduntil the sector strength of each sector in the SPL candidate list iscomputed and stored.

In FIG. 12, stage C 1140 starts by evaluating the first advancedreceiver in the sector path list 1204. If it is already assigned asector 1206, then the sector's average pilot strength, or an alternativefigure of merit (from the path list) is compared to a ‘drop’ threshold1234. If the figure of merit falls below the ‘drop’ threshold, the pathis unassigned in 1236. If the average pilot strength is above the ‘drop’threshold, then canceller L is tagged 1240 for further processing.

If an advanced receiver estimation module has become unassigned 1236 orwas not assigned initially 1206, then the algorithm tries to find asector from the sector path candidate list (steps 1208 to 1216) toassign to the estimation module. At step 1208, if there are no sectorpath candidates in the list, then the algorithm evaluates the nextadvanced receiver module 1220. If sector path candidates are present,then the strongest sector path candidate is found in the list(Y=strongest sector path candidate in list) 1210. Y is assigned tomodule L 1214. Then, path Y is removed from the sector path candidatelist 1216. When all advanced receiver modules have been evaluated (1220and 1224), the algorithm moves to stage F 1240.

FIG. 13 illustrates the process by which a sector path list ismaintained. Within a given sector L, the individual rays are evaluated1312 to see if they are below the add threshold specified, and if so,are dropped 1316 from the list. This process is repeated for all pathsuntil all paths within a sector that are below a drop threshold (DROP 1threshold) are dropped. Weighing coefficients are then applied 1342 toall remaining paths, and then combined 1344 and then the strength (or analternate figure of merit derived from the strength) is stored 1346.

FIG. 14 illustrates the process by which paths or rays for a givensector are assigned to a sector path list where the sector path list hasa limit on the number of elements. This would be an option for advancedreceivers that have a front-end combiner of rays from a sector that havea cost associated with handling additional rays. Maximal Ratio combining(MRC) combiners for front-end combining would be one such example.Equalizers may not have such a cost associated with the combining, butmay still have a cost associated with maintaining modules for recoveringthe timing of these rays.

In this process, the strongest unassigned multipath that is above an ADD1 threshold is evaluated, and if the sector path list count (L) is notat its maximum 1412, the ray is assigned to the list, and the processcontinues with the evaluation of the next strongest ray from thatsector. If the sector path list is full due to previous assignments,then the multipath being evaluated is compared 1420 against the weakestpath currently in the list. If the strength of the unassigned multipathexceeds that of the weakest path by a certain override threshold (may bezero as well), then the weaker multipath is removed, and the multipathbeing evaluated is added to the list.

FIG. 15 illustrates the process by which sector path candidates areadded to the sector path list subject to certain conditions being met.The strongest sector path list candidate is compared 1520 to the weakestsector in the sector path list identified in 1516, and if the candidatestrength exceeds the weakest sector by an override threshold, the newsector replaces the weakest existing sector in the list. In anotherpreferred embodiment, for the contents to be changed, the overridethreshold condition must be met in addition to a time threshold wherethe excess strength condition must be true for a pre-determined time.This is done to prevent excessive switching of sectors being selectedfor symbol estimation which can cause a reassignment of symbolestimators. Reassignment of symbol estimators may come with a cost inperformance due to the time taken for the symbol estimators and thepost-processors to reach steady-state values in their filters, etc.

FIG. 16 illustrates the process by which the path and sector candidatelists are maintained. At the beginning of the cycle 1600, the lists arecleared, and the process begins by examining the first active path inthe path list 1604, which may be a list of assigned fingers, assignedand locked fingers or a list of rays for which timing information isavailable. This path is then checked to see if it is currently used inan advanced receiver process 1606. If is not currently assigned, itsstrength or figure of merit is checked 1608 against the ADD 1 threshold,and if it exceeds it, it is added to the path candidate list 1610, andthe process checks for the next active path. If it does not exceed thethreshold, the process moves straight to examining the next active path.If the path is assigned to a sector path list in 1606, the ray ischecked to see if it is the strongest path in the list 1620, and if itis, it is checked to see if the path is below the Drop 1 threshold in1622. If the strongest ray of a sector path list is below the threshold,the sector path list is cleared for that sector, and the next path isevaluated.

In FIG. 17, components of the return stream controller 152 (FIG. 1) areshown. A return stream evaluation module 1704 determines which signalstream to return for each finger tracking a path. A multiplexer for eachpath 1720 allows the return stream evaluation module 1704 to select 1710a return stream 160 from one of the advanced receiver produced streams,(630.1 to 630.k) or a delayed version 1706 of the raw signal stream 106.The selection algorithm (illustrated in FIGS. 15 to 19) is based on thecanceller path metrics lists 652, the path list 260 and an intermediatereturn stream candidate list 1740.

FIG. 18 shows an overview of the Return Stream Selection (RSS) algorithmfor the return stream controller module 904 (FIG. 9). A signal isreceived 1800 from the advanced module 130 (FIG. 1) to evaluate the RSSfor paths. When the signal is received the RSS algorithm evaluates validpaths for interference cancellation signal streams 1804. Then, for eachvalid path, a return stream candidate list is created 1806 from thecanceller path metric lists 652 (FIG. 6). Paths with interferencecancellation signal streams selected are evaluated to see if the streamshould be dropped 1808. Finally, new streams are evaluated for adding oroverriding existing selections 1812.

FIGS. 19 to 21 show greater detail in the RSS algorithm. This algorithmmay be used in embodiments where the interference cancellation orequalization being deployed is not sufficiently robust across thescenarios experienced, and offers a way to benefit from interferencecancellation when the conditions permit. In other embodiments, theinterference cancellation may be robust across scenarios, and there maynot be a need to use the RSS algorithm for such implementations. Thismay also be useful where multiple types of advanced receivers are toprocess an incoming signal, and a decision is made based on theperformance of the different receivers.

FIG. 19 illustrates an embodiment of the RSS algorithm for evaluatingvalid paths. A path is validated to indicate that it may be consideredfor interference cancellation signal stream selection. If a path is notvalidated, then interference cancellation signal streams are notconsidered and the raw signal stream is selected for the return streamof the path. The process starts with a signal from the RSS algorithm1900 to evaluate all of the paths in the path list 260 (FIG. 2). Step1904 starts with the first path in the path list and assigns the path toa variable J. Step 1908 determines if path J is enabled in the pathlist. If not, then the raw signal stream is selected for its returnstream 1916. If path J is enabled then step 1912 determines if the pathJ's average pilot strength (from the path list) is above a minimumthreshold. If not, step 1916 is executed. If it is, then the path hasbeen validated and the algorithm move to stage B 1920. All paths in thepath list are evaluated in the same manner (1930 and 1934) until no morepaths are left to evaluate. At the point the RSS algorithm is done 1950.

FIG. 20 illustrates stage B of the RSS algorithm. In general, stage Bbuilds a return stream candidate list 940 (FIG. 9) for a valid path. Thereturn stream candidate list contains a list of possible interferencecancellation signal streams 630 (FIG. 17) that can be considered forselection for a paths return stream 160 (FIG. 17). Also, this stagedeselects an interference cancellation signal stream previously selectedfor a valid path, if it does not meet the algorithm's criteria.

The stage starts, for a given path J, by looking at each assignedcanceller (K) 2002. (Unassigned cancellers do not produce aninterference cancellation signal stream.) Step 2004 determines if path Jis assigned to the canceller K. If so, the interference cancellationsignal stream from canceller K is not useful for path J, since path Jhas been removed from the signal stream—this canceller is not consideredfor the return stream candidate list and the algorithm moves to evaluatethe other assigned cancellers (2020 and 2024). If path J is not assignedto the canceller K, step 2006 is evaluated to determine if path J isalready selecting canceller K's return stream. If so, canceller K's pathmetric list is used to determine if the pilot strength difference forpath J is below a ‘drop’ threshold 2008. If so, the selection of K'ssignal stream is deselected for J and J's return stream selection isdefaulted to the raw signal stream 2010. Step 2010 continues to evaluateother active cancellers 2020. At step 2008, if J's pilot strengthdifference was not below the ‘drop’ threshold, then other cancellers areevaluated for candidacy 2020.

At step 2006, if path J is not selecting the canceller K's signalstream, then canceller K's path metric (pilot strength difference) forpath J is checked against an ‘add’ threshold. If the metric is above the‘add’ threshold, then canceller K is assigned to the return streamcandidate list for path J. If the metric is not above the threshold,then other assigned cancellers are evaluated 2020.

When all assigned cancellers have been evaluated, then return streamcandidate list is complete for path J. Step 2024 determines if anycandidates are present. If so, stage C 2030 is executed. If not, thenstage B is done for path J and returns to 2040.

FIG. 21 shows an embodiment of stage C for the RSS algorithm wherereturn stream candidates are evaluated for selection. Step 2102 findsthe strongest return stream candidate (Y) for path J, e.g. the strongestpilot strength difference from the return stream candidates. Step 2106identifies if path J is already selecting any canceller's signal stream.If not, then canceller Y's signal stream is selected for path J's returnstream 2114. If path J is selecting a canceller's signal stream (K),then step 2110 is evaluated. (Stage B guarantees that K is not equal toY.) Step 2110 determines if Y's pilot strength difference for J isgreater than K's pilot strength difference for J, plus an ‘override’threshold. If so, then step 2114 is executed. If not, stage C is doneand returns to 2120.

In another embodiment of the return stream processing, no comparisonsare made using the quality of interference cancelled signal. Instead,raw data continues to be used for use in downstream processing unless afixed duration of time has passed since the assignment of rays to agiven interference estimator.

In another embodiment, interference estimates are used only after afixed duration (measured in time or number of symbols) has lapsed sincethe signals rays have been assigned to a given estimator. This allowsfor sufficient time for the filters assigned to the estimator to trackthe signal rays, and may help in preventing bad interference estimatesfrom being produced which may degrade the quality of the interferencecancelled signal.

It should be noted that in the preferred embodiment of the invention,the number (k) of advanced receiver units such as interferencecancellers or equalizers would be matched to the expected number ofsignal sources for a given deployment. In this embodiment, it ispossible to remove the interference of the strongest paths withoutwasting chip resources.

FIG. 22 illustrates a scheduler for executing signals within theadvanced receiver module 130 (FIG. 1). The scheduler may execute on ageneric symbol strobe generated within the advanced receiver module2202. For each symbol strobe, the scheduler counts the symbols 2204.1,2204.2, 2204.3, etc. Every M symbols 2206.1, the scheduler may issue asignal to start assignment evaluation 2210.1, 2210.2, etc. The symboltime line 2202 depicts an execution thread for assignment evaluation.

Another execution thread may be created 2224 for a signal to startreturn stream selection 2230.1. The two threads (2202 and 2224) may beoffset in time by T symbols 2250. The signal to start return streamselection 2230.1 may be issued every P symbols 2226.1, 2226.2, etc.

The scheduler in FIG. 22 facilitates the embodiment of the cancellationmodule 130 (FIG. 1) in an environment where resources are limited. Theexecution signals may be interleaved and spread out in time to minimizethe resources necessary to execute the algorithms.

The assignment algorithm may also be reduced in complexity to facilitatean embodiment of the cancellation module in a limited resourceenvironment. In one embodiment, FIG. 23 illustrates an overview of theassignment algorithm where only one sector is evaluated for assignment,every execution signal 2300. At step 2304 only one sector pathcandidate, if present, is evaluated for the purposes of being added toor overriding an existing sector in the sector path lists 2308. In thenext step 2312, assigned advanced receiver units are evaluated to dropthe sectors assigned to them.

FIG. 24 begins a detailed illustration of the assignment algorithmoutlined in FIG. 23. The execution signal 2300 (FIG. 23) starts stage A2400 (FIG. 24). A path candidate variable is set to NULL 2404 indicatingthat, initially no sector candidate has been found. Next, all activesectors in the sector path list 220 (FIG. 2) are evaluated (steps 2406,2420 and 2430). For each active path J, step 2410 determines if the pathis already assigned to an advanced receiver. If so, it can not be asector path candidate and the algorithm moves to step 2420. If the pathis not already assigned to an advanced receiver module, such as aninterference canceller, then J's average pilot strength, or a similarfigure of merit, is tested against an ‘add’ threshold 2412. If J'sstrength is not above the threshold, then the path can not be acandidate. If it is above the threshold, then J's strength is comparedto the sector path candidate's strength 2414. If J's strength is greaterthan the path candidate's strength, then J becomes the new pathcandidate 2416. If not, the next path is evaluated 2420.

When all active sectors have been evaluated, the path candidate variablemay be NULL or contain the strongest active path. Stage B is executednext 2440.

FIG. 25 shows stage B of the assignment algorithm. Step 2504 determinesif the sector path candidate variable is set to NULL, meaning that thereare no active sectors in consideration for assignment to an advancedreceiver unit. If so, then the algorithm moves to stage C 2530. If thereis a sector path candidate, the advanced receiver units are evaluated todetermine if one of them is unassigned 2508. An unassigned advancedreceiver unit X is assigned the sector path candidate 2512, then thealgorithm moves to stage C 2530. However, if all advanced receiver unitsare currently assigned, then the unit with the weakest pilot strength ischosen and assigned to variable X 2516. If the sector path candidate'spilot strength is greater then X's pilot strength plus an ‘override’threshold 2520, then the sector path candidate is assigned to cancellerX 2512 and X's old sector is unassigned. At step 2520, if the sectorpath candidate can not override the path assigned to X, then thealgorithm moves to stage C 2530.

In another embodiment, an overriding assignment can only happen when athreshold criterion and a time criterion is met, wherein, the newcandidate for assignment must be stronger than the currently assignedsector for at least some duration of time before the overridingoperation can be performed.

FIG. 26 illustrates stage C of the assignment algorithm. To start,cancellers are evaluated (steps 2604, 2620 and 2624). If an advancedreceiver unit K is assigned 2606, then the sector's strength (assignedto K) is compared to a ‘drop’ threshold 2608. If less than thethreshold, then the path assigned to K is unassigned 2612. If thesector's strength is greater than the threshold, then the algorithmevaluates the next advanced receiver unit 2620 for evaluation against adrop threshold. At this point the algorithm is done 2650.

In another embodiment of the invention, a scheduler and assignmentalgorithm are implemented in an alternate manner to facilitateefficiency within a limited resource environment. FIG. 27 illustrates ascheduler (similar to the one described in FIG. 19) where symbol signalsare counted and execution signals generated for algorithms (2710.1,2710.2, etc.). In this embodiment, there is only one execution thread2704 with a periodic cycle of M symbols 2706.1. Also, the executionsignals for the assignment algorithm 2710.1, 2710.2, 2710.4, and 2710.5are structured to have the assignment algorithm evaluate a specifiedsector within the sector path list.

If a return stream selection is implemented, the scheduler may issuemultiple execution signals for the return stream selection algorithm2710.3 and 2710.6 within the M symbol period 2406.1. Also, the number ofsymbols between execution signals 2750, 2751, and 2752 may be greaterthan or equal to one symbol.

FIG. 28 shows a flowchart of the assignment algorithm that would run inconjunction with the scheduler illustrated in FIG. 27. When an executionsignal is issued to evaluate sector N 2710.1, 2710.2, 2710.4, or 2710.5(FIG. 27), the assignment algorithm starts by determining if sector N isassigned to an advanced receiver unit (K) 2804. If so, then sector N'spilot strength is compared to a drop threshold 2806. If less than thethreshold, sector N is unassigned from the advanced receiver unit K2810. If greater than the threshold, then the algorithm moves to thelast steps 2840. At step 2804, if path N is not assigned to a canceller,then path N's pilot strength is compared to an ‘add’ threshold. Ifgreater than the threshold, then the algorithm tries to find anunassigned advanced receiver unit(X) 2814. If X is found, then path N isassigned to advanced receiver unit X 2820. At step 2814, if anunassigned advanced receiver unit is not found, then the advancedreceiver unit with the weakest sector strength is chosen and assigned tovariable X 2816. If the sector strength is greater than X's strengthplus an ‘override’ threshold 2818, then N is assigned to advancedreceiver unit X 2820 and X's old sector is unassigned. At step 2818, ifsector N cannot override the path assigned to X, then the algorithmmoves to step 2840, where the loop is complete.

In another preferred embodiment of this invention, the controllerdetects the conditions of the scenario, and activates multipleiterations of the advanced receiver, in the event that there are fewersignal sources than what is designed for, and thereby may provideimproved performance without an increase in complexity.

The contents of the sector path list are evaluated, and as an example,if the receiver is designed to handle symbol estimation for up to threeinterfering sources, and there is only a single Node-B or base stationdetected, the symbol estimation and interference construction resourcesmay be used multiple times for the same source, thereby providingimproved performance compared to a single iteration system.

The invention claimed is:
 1. A receiver for signal processing in amobile station, comprising: a front-end processor for receiving asignal; a searcher coupled to the front-end processor for detecting oneor more signal paths in the signal; a selection module for selecting atleast one of the one or more signal paths and selecting at least one ofa plurality of available sectors for use in interference cancellation orequalization; a symbol estimator coupled to the selection module forgenerating one or more symbol estimates from at least one of the one ormore signal paths; and a receiver module coupled to the symbol estimatorfor generating a substantially interference cancelled signal; whereineach of the at least one of the plurality of available sectors continuesto be used for symbol estimation unless at least one of an overridethreshold and a time of override is satisfied.
 2. The receiver of claim1, wherein the selection module selects the one or more signal pathsbased at least in part on the strength of the one or more signal paths.3. The receiver of claim 1, wherein the selection module selects the oneor more signal paths sequentially.
 4. The receiver of claim 1, whereinthe selection module selects the one or more signal paths in parallel.5. The receiver of claim 1, further comprising: one or more processingmodules each for operating on one or more signal paths to produce one ormore output signal streams; wherein the selection module is coupled tothe one or more processing modules for selecting at least one of theoutput signal streams as at least one selected output signal stream; andwherein the symbol estimator is configured for producing one or moresymbol estimates from the at least one selected output signal stream. 6.The receiver of claim 5, wherein at least one of the one or moreprocessing modules is a selected one of an equalizer and an interferencecanceller.
 7. The receiver of claim 5, wherein the selection moduleselects at least one of the output signal streams as at least oneselected output signal stream at least in part based on a figure ofmerit of at least one of an output signal stream and an input signalstream.
 8. The receiver of claim 1, further comprising a signal metricevaluator coupled to the front-end processor for generating one or moresignal metrics.
 9. The receiver of claim 8, wherein the one or moresignal metrics comprises at least one of strength, traffic statisticsand geometry.
 10. The receiver of claim 8, wherein the front endprocessor is further configured for selecting a receiver technique forprocessing the one or more signal paths based at least in part on atleast one of the one or more signal metrics and wherein the receivertechnique is chosen from Rake, equalizer and interference canceller. 11.The receiver of claim 1, further comprising a sector path list, andwherein the selection module selects the at least one of the pluralityof available sectors from the sector path list.
 12. The receiver ofclaim 11, wherein the selection module compares a strongest sector pathlist candidate to a weakest sector in the sector path list and replacesthe weakest sector on the sector path list with the strongest sectorpath list candidate if the strength of the strongest sector path listcandidate is greater than the strength of the weakest sector.
 13. Thereceiver of claim 12, wherein the selection module replaces the weakestsector on the sector path list with the strongest sector path listcandidate if the strength of the strongest sector path list candidate isgreater than the strength of the weakest sector for a time threshold.14. A method for signal processing in a mobile station, comprising:receiving a signal in a receiver; detecting one or more signal paths inthe signal; selecting at least one of the one or more signal paths andselecting at least one of a plurality of available sectors for use ininterference cancellation or equalization; generating one or more symbolestimates from at least one of the one or more selected signal paths;and generating a substantially interference cancelled signal from theone or more symbol estimates; wherein each of the at least one of theplurality of available sectors continues to be used for symbolestimation unless at least one of an override threshold and a time ofoverride is satisfied.
 15. The method of claim 14, wherein the one ormore signal paths is selected based at least in part on the strength ofthe one or more signal paths.
 16. The method of claim 14, furthercomprising generating one or more signal metrics, wherein the one ormore signal metrics comprises at least one of strength, trafficstatistics and geometry.
 17. The method of claim 16, further comprisingselecting a receiver technique for processing the one or more signalpaths based at least in part on at least one of the one or more signalmetrics.
 18. The method of claim 17, wherein the receiver technique ischosen from Rake, equalizer and interference canceller.